physix's comments

For what it's worth, I prompted GPT-5 Pro to produce a npm supply chain best practices guide, to see what it comes up with. I've not read it yet.

https://gist.github.com/pschleger/c1c36fbde003bea5eee7ce4291...

And a prompt to review a site I built for GitHub Pages, which I'll try this week.

https://gist.github.com/pschleger/8d5fcea6b96d8504ac58bb2f8d...

That's right. As a tech company, we can now do more with the people we have.

Well, this one isn't that rosy

> The New York Fed blog noted that the modest impact on jobs so far may not hold in the future. "Looking ahead, firms anticipate more significant layoffs and scaled-back hiring as they continue to integrate AI into their operations," New York Fed researchers wrote.

As a layman, it helps me to understand the importance of language as a vehicle of intelligence by realizing that without language, your thoughts are just emotions.

And therefore I always thought that the more you master a language the better you are able to reason.

And considering how much we let LLMs formulate text for us, how dumb will we get?

I'm curious to know the business model. I assume you charge the companies, but I couldn't find the pricing model on the website.

Are you able say something about this?

BTW: The AI Assistant is itself a Cyoda app.

Do you have any examples?

I was waiting for

          .....   ......   ......   ....   ..    ..   ......
         ..       ..   ..  ..   ..   ..    ...   ..   ..     
         ..       ..   ..  ...  ..   ..    .. .. ..   ..     
          .....   ......   ......    ..    .. .. ..   ..  ...
           .....  ...      .. ..     ..    ..   ...   ..   ..
              ..  ..       ..  ..    ..    ..    ..   ...  ..
         ......   ..       ..   ..  ....   ..    ..    .....

to show up, until I realized I've been coding too much today.

me too

I was thinking more of the former, whereby I "bring my own servers".

I haven't really thought it through yet, whether that even makes sense.

This is a great idea. I really like it!

We considered reaching out in May, but held back because we want to run on bare metal.

Any chance to get this provisioned on bare metal at Hetzner?

We have K8S running on bare metal there. It's a slog to get it all working, but for our use case, having a dedicated 10G LAN between nodes (and a bare metal Cassandra cluster in the same rack) makes a big difference in performance.

Also, from a cost perspective. We run AX41-NVMe dedicated servers that cost us about EUR 64 per server with a 10G LAN, all in the same rack. Getting the same horsepower using Cloud instances I guess would be a CCX43, which costs almost double.

Ah, yes, of course! Thanks.

Even when the distance between the centres of mass of two colliding galaxies become comparable to their size?

It's a long time ago, but what I remember was being fascinated by the shapes of the galaxies emerging from a collision under this centre-of-mass approximation, and that it created shapes we see out there. It was as if the main effect were a central mass in each galaxy dominating the dynamics.

This reminds me of when I was a physics undergrad way back in the mid 80s. We used to spend nights drinking beer and hacking some simulations from the Computer Recreations section of Scientific American.

Once we wanted to simulate the dynamics of galaxies. I don'it think it was an SA article, but we did it the slow way by calculating the force on every star individually from each other star. It was excruciatingly slow and boring.

Then some time later, I don't recall where I picked that up, I updated the simulation to just model the force on each star coming from the galaxy's centre of mass.

I could simulate many more stars, have galaxies collide and see them spin off with their stars scattering around.

What struck me was that they looked like real galaxies we see out there.

I wasn't aware of the postulations made in the 60s/70s about there being supermassive black holes at the centre of galaxies, but to me, this simplified simulation was kind of like a smoking gun for that... from an 80286 IBM PC AT.

What's so evil about Netflix?

They use Cassandra and make cool series ever now and then, like Love Death Robots. :-)

It's probably too much work, but it would be nice to see a short comment on the "curated" examples to better understand the reasoning behind the assessment. Why was it included ? What was particularly good about it? That might help people choose the right ones for their use case.

When I lived in Germany, in the 90s, I regularly sat in diesel Mercedes Benz taxis with over a million kms under the hood. Private drivers usually. Many had giant mileages.

We used to say (tongue in cheek) that after 250k, the MB diesel engine was broken in. I don't think MB makes them like they used to anymore.

About 1: Indeed. The moderator remarked at the end that once the interview was over, Dario's expression sort of sagged and it felt like you could see the weight on his shoulders. But you never know if that's part of the act.

About 2: Ah, yes. So if one vendor gains sufficient momentum, their advantage may accelerate, which will be very hard to catch up with.

I think this is actually good, because it means there is no clear winner who can sit back and demand rent. Instead they all work as hard as they can to stay competitive, hopefully thereby accelerating AI software engineering capabilities, with the investors footing the bill.